Последние новости
常用于： 深层 CNN、MLP。
，更多细节参见新收录的资料
Sarvam 30BSarvam 30B is designed as an efficient reasoning model for practical deployment, combining strong capability with low active compute. With only 2.4B active parameters, it performs competitively with much larger dense and MoE models across a wide range of benchmarks. The evaluations below highlight its strengths across general capability, multi-step reasoning, and agentic tasks, indicating that the model delivers strong real-world performance while remaining efficient to run.。关于这个话题，新收录的资料提供了深入分析
print u"\u001b[40m A \u001b[41m B \u001b[42m C \u001b[43m D \u001b[0m"